AI BASED ASSISTIVE SYSTEMS FOR VISUALLY IMPAIRED PEOPLE

Introduction

Visually impaired people face difficulties in mobility and risk of

accidents

White cane and guide dogs have limitations in detecting aerial

obstacles

Camera-based solutions can provide enhanced environment

perception

Vision-Based Assistive Systems

Use cameras and computer vision for obstacle detection and

navigation

Image processing algorithms analyze video frames

Provide feedback to user via audio, haptics etc.

Solutions using color markers, QR codes, RFID for indoor navigation

Outdoors, combine with GPS, GIS database for wayfinding

Object recognition to detect landmarks like doors, signs

Deep learning models being explored recently for robust

performance

Challenges

Accuracy in estimating distance to obstacles

Scale drift between different scenes

Handling occlusions, cluttered environments

Real-time performance with low power consumption

Conclusion

AI and computer vision have huge potential for assistive technology

Robust perception, efficient models and intuitive interfaces needed

Enhanced environment understanding with minimal training data

Multi-modal interfaces for customizable user experience

Key Highlights

Camera-based solutions are promising for visually impaired

assistance

Solutions exist for indoor navigation, outdoor wayfinding, object

detection

Deep learning models being leveraged recently for accuracy and

robustness

Key challenges include real-time performance, scalability, and

usability

AI and computer vision will play a big role in future assistive

technologies

UNDERWATER OPTICAL CDMA FOR 5G COMMUNICATION

Introduction

5G requires high data rate, low latency underwater communication

Acoustics unsuitable due to low speed, high latency

Optical communication superior but suffers attenuation, turbulence

OCDMA enables asynchronous, secure multi-user communication

Proposed System

Evaluates SAC-OCDMA with double weight codes

LED source, encoders, modulators for transmitting encoded signals

Combines signals and transmits through underwater channel

Receiver decodes signals using splitters, decoders, detectors

Channel Modeling

Beer-Lambert law models attenuation and scattering losses

Gamma-gamma distribution for turbulence fading

Mathematical analysis for probability of error

Results

Performance deteriorates from pure sea to coastal water

More transmitted power reduces error probability

Higher number of users increases error probability

Enhancement techniques needed for coastal water

Conclusion

SAC-OCDMA provides secure, low latency communication

Works well in pure sea and clear ocean conditions

Degrades heavily in coastal water with high turbulence

Further research needed to improve coastal water performance

Key Highlights

Optical CDMA suits 5G requirements of high data rate, low latency

Underwater channel impairments like attenuation, turbulence affect

performance

Mathematical modeling provides error probability analysis

Performance acceptable in pure sea but degrades in coastal water

Enhancement techniques can help achieve desired error rates

WIRELESS TECHNOLOGIES FOR AVIATION SAFETY

Introduction

Wireless communication gaining importance in aviation for flight

safety

Replacing wired connections reduces weight, improves resilience

Technologies needed for air-ground comms, aircraft monitoring,

tracking

Wireless Technologies

5G for efficient, high performance aviation communication networks

Augmented reality provides enhanced visualization for pilots

AeroMACS - airport ground-aircraft communication and operations

WAIC - wireless avionics intra-communications to cut down wiring

IoT sensors for condition monitoring and predictive maintenance

SWIM - system-wide information management for data exchange

Challenges

Interference with aircraft radar altimeters from 5G frequencies

Managing RF emissions from consumer devices

Ensuring security, reliability and low latency for safety systems

Radio interference from ground stations hampering communications

Energy efficiency of battery-powered wireless nodes

Performance degradation from natural factors like weather

Conclusion

Safety critical for growth of aviation industry

Advancements in sensors and wireless technologies enabling

improvements

Further research needed for robust technologies suited to aviation

environments

Key considerations: security, reliability, environment tolerance,

range

Key Highlights

Wireless communication provides benefits but poses challenges in

aviation

Technologies like 5G, AR, IoT have potential to enhance aircraft

safety

Overcoming interference, security risks, and harsh environment

impact is key

A wireless technology tailored for aviation can enable next level

infrastructure

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